viral-ngs: Instructions file for Codex

AGENTS.md

viral-ngs AGENTS.md is an instructions file for Codex, OpenCode from broadinstitute/viral-ngs. It costs 5,362 tokens per session, scanned A, original, MIT.

Repository instructions for developing viral-ngs, a collection of tools for analysing viral genetic sequencing data. It uses a monorepo, meaning several related tools are kept in one repository, and Docker-based development.

In plain words
What is it for?
Use it when changing viral-ngs utilities, assembly, classification, phylogenetics, or related Docker and development workflows.
Why use it?
It gives coding agents the project's expected setup and workflow instead of leaving them to infer how to build and test changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md.

This is broadinstitute/viral-ngs's own configuration. It tells Codex and OpenCode how to work on viral-ngs itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything viral-ngs configures →

Reuse

Borrowing it

Nothing to install: this file belongs to broadinstitute/viral-ngs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/broadinstitute/viral-ngs/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/broadinstitute/viral-ngs

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 5,362 This file is loaded in full into every session.
When invoked 5,362 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.05362 $0.05362
Opus 5 $0.02681 $0.02681
Sonnet 5 $0.01072 $0.01072
Haiku 4.5 $0.00536 $0.00536

Measured 5d ago against content hash 4e2714952441, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

viral-ngs AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 610 lines

How it starts

The opening of the file, as written. The whole thing — 610 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This document provides guidance for AI assistants (Claude Code, GitHub Copilot, etc.) working on this repository.

Overview

viral-ngs is a consolidated monorepo for viral NGS (Next-Generation Sequencing) analysis tools. It provides:

  • Core utilities: Read manipulation, Illumina demultiplexing, file handling, QC
  • Assembly: Genome assembly, scaffolding, gap filling
  • Classification: Metagenomic classification, taxonomy filtering, k-mer analysis
  • Phylogenetics: Variant calling, consensus generation, annotation

Related resources:


Development Environment

Docker-Centric Development

Development is intentionally docker-centric. Developers need:

  • Docker
  • Git
  • Text/code editor

Development Workflow

  1. Clone the repository:

    git clone https://github.com/broadinstitute/viral-ngs.git
    
  2. Run the container with local checkout mounted:

    docker run -it --rm \
      -v $(pwd):/opt/viral-ngs/source \
      quay.io/broadinstitute/viral-ngs:main-core
    
  3. If modifying conda dependencies, install them inside the container:

    micromamba install <packages>
    
  4. Test code interactively:

    cd /opt/viral-ngs/source
    pytest -rsxX -n auto tests/unit
    
  5. Push changes to GitHub for automated CI testing

Running Tests

# Run all unit tests in the core image
docker run --rm \
  -v $(pwd):/opt/viral-ngs/source \
  quay.io/broadinstitute/viral-ngs:main-core \
  pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit

# Run specific module tests
docker run --rm \
  -v $(pwd):/opt/viral-ngs/source \
  quay.io/broadinstitute/viral-ngs:main-classify \
  pytest -rsxX -n auto /opt/viral-ngs/source/tests/unit/classify

Important: Testing source code changes requires re-installing the package. The -v mount makes your local files visible on disk, but viral_ngs is already installed as a package inside the container image. Python imports resolve to the installed copy, not your mounted source files. If you've modified files under src/viral_ngs/, you must re-install before running tests:

Read the full file on GitHub · 610 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago Changed · +4 tokens per session 4e2714952441
  2. 9d ago First seen · 610 lines · 5,358 tokens per session scan A d17caefa5790

Subscribe to this mod's changes

viral-ngs AGENTS.md is an instructions file published in the GitHub repository broadinstitute/viral-ngs (197 stars, last pushed 5d ago), licensed MIT. It adds 5,362 tokens to every session, about $0.0268 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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